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dc.contributor.authorAli, Anum
dc.contributor.authorElsawy, Hesham
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2016-11-03T06:56:45Z
dc.date.available2016-11-03T06:56:45Z
dc.date.issued2015-09-11
dc.identifier.citationAli A, Elsawy H, Al-Naffouri TY, Alouini M-S (2015) Narrowband interference parameterization for sparse Bayesian recovery. 2015 IEEE International Conference on Communications (ICC). Available: http://dx.doi.org/10.1109/ICC.2015.7249036.
dc.identifier.doi10.1109/ICC.2015.7249036
dc.identifier.urihttp://hdl.handle.net/10754/621281
dc.description.abstractThis paper addresses the problem of narrowband interference (NBI) in SC-FDMA systems by using tools from compressed sensing and stochastic geometry. The proposed NBI cancellation scheme exploits the frequency domain sparsity of the unknown signal and adopts a Bayesian sparse recovery procedure. This is done by keeping a few randomly chosen sub-carriers data free to sense the NBI signal at the receiver. As Bayesian recovery requires knowledge of some NBI parameters (i.e., mean, variance and sparsity rate), we use tools from stochastic geometry to obtain analytical expressions for the required parameters. Our simulation results validate the analysis and depict suitability of the proposed recovery method for NBI mitigation. © 2015 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectBayesian sparse recovery
dc.subjectcompressed sensing
dc.subjectNarrowband interference
dc.subjectSC-FDMA
dc.subjectstochastic geometry
dc.titleNarrowband interference parameterization for sparse Bayesian recovery
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2015 IEEE International Conference on Communications (ICC)
dc.conference.date8 June 2015 through 12 June 2015
dc.conference.nameIEEE International Conference on Communications, ICC 2015
dc.contributor.institutionKing Fahd University of Petroleum and Minerals (KFUPM), Eastern Province, Dhahran, Saudi Arabia
kaust.personAli, Anum
kaust.personElsawy, Hesham
kaust.personAl-Naffouri, Tareq Y.
kaust.personAlouini, Mohamed-Slim


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